Technical-Indicators | Technical Indicators used in Stock Market Analysis | Business library

by arkochhar Python Version: Current License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | Technical-Indicators Summary

Technical-Indicators is a Python library typically used in Web Site, Business applications. Technical-Indicators has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However Technical-Indicators build file is not available. You can download it from GitHub.

Technical Indicators used in Stock Market Analysis

Support

Quality

Security

License

Reuse

Support

Technical-Indicators has a low active ecosystem.

It has 394 star(s) with 181 fork(s). There are 34 watchers for this library.

It had no major release in the last 6 months.

There are 5 open issues and 5 have been closed. On average issues are closed in 66 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Technical-Indicators is current.

Quality

Technical-Indicators has 0 bugs and 58 code smells.

Security

Technical-Indicators has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Technical-Indicators code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Technical-Indicators is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

Technical-Indicators releases are not available. You will need to build from source code and install.

Technical-Indicators has no build file. You will be need to create the build yourself to build the component from source.

Technical-Indicators saves you 171 person hours of effort in developing the same functionality from scratch.

It has 424 lines of code, 16 functions and 3 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed Technical-Indicators and discovered the below as its top functions. This is intended to give you an instant insight into Technical-Indicators implemented functionality, and help decide if they suit your requirements.

Compute Super Trend .
Implementation of Ichimoku .
Computes the MACD of a dataframe .
calculate high availability ratio
Compute the true range of a given period .
Subdivide a DataFrame into a DataFrame .
Exponential Moving Average
Compute RSI .
Compute the mean value of a DataFrame .
Calculate standard deviation between target and target .

Get all kandi verified functions for this library.

Technical-Indicators Key Features

No Key Features are available at this moment for Technical-Indicators.

Technical-Indicators Examples and Code Snippets

No Code Snippets are available at this moment for Technical-Indicators.

Community Discussions

Trending Discussions on Technical-Indicators

Stock tools interacting with another chart/component

QUESTION

Stock tools interacting with another chart/component

Asked 2020-Mar-24 at 12:20

Basically I'm running a Reactjs application with Highcharts using the highcharts-react-official wrapper. I'm defining a highchart Component and the goal is to generate a report page with a dozen charts with different settings and data sources. I also want to add highstock stock tools components to it. The problem I'm finding is that when I click on Indicators button in a component (first option, top left) popop is triggered in all components.

Chart Component ...

ANSWER

Answered 2020-Mar-24 at 12:20

You need to declare unique bindingsClassName per each chart.

Source https://stackoverflow.com/questions/60818084

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Technical-Indicators

You can download it from GitHub.
You can use Technical-Indicators like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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